Sharing brain mapping statistical results with the neuroimaging data model
Name
Sharing brain mapping.pdf
Size
2.66 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Maumet, Camille
Auer, Tibor
Bowring, Alexander
Chen, Gang
Das, Samir
Flandin, Guillaume
Glatard, Tristan
Gorgolewski, Krzysztof J.
Helmer, Karl G.
Jenkinson, Mark
Date Issued
December 2016
Journal
Scientific Data
Publisher
Nature Publishing Group
Citation
Maumet, Camille et al. “Sharing Brain Mapping Statistical Results with the Neuroimaging Data Model.” Scientific Data 3 (2016): 160102.
Version
Final published version
Abstract
Only a tiny fraction of the data and metadata produced by an fMRI study is finally conveyed to the community. This lack of transparency not only hinders the reproducibility of neuroimaging results but also impairs future meta-analyses. In this work we introduce NIDM-Results, a format specification providing a machine-readable description of neuroimaging statistical results along with key image data summarising the experiment. NIDM-Results provides a unified representation of mass univariate analyses including a level of detail consistent with available best practices. This standardized representation allows authors to relay methods and results in a platform-independent regularized format that is not tied to a particular neuroimaging software package. Tools are available to export NIDM-Result graphs and associated files from the widely used SPM and FSL software packages, and the NeuroVault repository can import NIDM-Results archives. The specification is publically available at: http://nidm.nidash.org/specs/nidm-results.html.
MIT Department
McGovern Institute for Brain Research at MIT
Terms of Use
Creative Commons Attribution 4.0 International License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/sdata.2016.102
